To use incense we first have to instantiate an experiment loader that will enable us to query the database for specific runs.
| targets_type | iteration | autoencoder_type | batch_size | artifacts | |
|---|---|---|---|---|---|
| exp_id | |||||
| 25 | Mnist | False | normal_dim_iteration | 128 | {'history_autoencoder_iteration': Artifact(nam... |
| 26 | Mnist | False | normal_dim_iteration | 64 | {'history_autoencoder_iteration': Artifact(nam... |
| 27 | Mnist | False | normal_dim_iteration | 32 | {'history_autoencoder_iteration': Artifact(nam... |
| 29 | Mnist | False | normal_dim_iteration | 256 | {'history_autoencoder_iteration': Artifact(nam... |
| 30 | 10_Targets | False | normal_dim_iteration | 256 | {'history_autoencoder_iteration': Artifact(nam... |
| 31 | 10_Targets | False | normal_dim_iteration | 128 | {'history_autoencoder_iteration': Artifact(nam... |
| 32 | 10_Targets | False | normal_dim_iteration | 64 | {'history_autoencoder_iteration': Artifact(nam... |
| 33 | 10_Targets | False | normal_dim_iteration | 32 | {'history_autoencoder_iteration': Artifact(nam... |
| targets_type | iteration | autoencoder_type | batch_size | artifacts | sort | |
|---|---|---|---|---|---|---|
| exp_id | ||||||
| 30 | 10_Targets | False | normal_dim_iteration | 256 | {'history_autoencoder_iteration': Artifact(nam... | 0 |
| 31 | 10_Targets | False | normal_dim_iteration | 128 | {'history_autoencoder_iteration': Artifact(nam... | 1 |
| 32 | 10_Targets | False | normal_dim_iteration | 64 | {'history_autoencoder_iteration': Artifact(nam... | 2 |
| 33 | 10_Targets | False | normal_dim_iteration | 32 | {'history_autoencoder_iteration': Artifact(nam... | 3 |
| 25 | Mnist | False | normal_dim_iteration | 128 | {'history_autoencoder_iteration': Artifact(nam... | 4 |
| 26 | Mnist | False | normal_dim_iteration | 64 | {'history_autoencoder_iteration': Artifact(nam... | 5 |
| 27 | Mnist | False | normal_dim_iteration | 32 | {'history_autoencoder_iteration': Artifact(nam... | 6 |
| 29 | Mnist | False | normal_dim_iteration | 256 | {'history_autoencoder_iteration': Artifact(nam... | 7 |
Red best overall, and also best of subset. Bes means for accuracy max, rest min. Green best of subset.
predictions_df_0
| normal_dim_iteration 256 10_Targets | normal_dim_iteration 128 10_Targets | normal_dim_iteration 64 10_Targets | normal_dim_iteration 32 10_Targets | normal_dim_iteration 128 Mnist | normal_dim_iteration 64 Mnist | normal_dim_iteration 32 Mnist | normal_dim_iteration 256 Mnist | |
|---|---|---|---|---|---|---|---|---|
| 0 | 0.9575 | 0.8922 | 0.8906 | 0.8313 | 0.9693 | 0.9735 | 0.9738 | 0.9729 |
| 1 | 0.8449 | 0.5675 | 0.6091 | 0.4085 | 0.9658 | 0.9679 | 0.9696 | 0.9699 |
| 2 | 0.8043 | 0.5246 | 0.5545 | 0.3565 | 0.9559 | 0.9588 | 0.9605 | 0.9624 |
| 3 | 0.7866 | 0.513 | 0.5378 | 0.3379 | 0.9457 | 0.9456 | 0.9448 | 0.9516 |
| 4 | 0.7806 | 0.5116 | 0.5323 | 0.3294 | 0.9309 | 0.93 | 0.9275 | 0.9383 |
| 5 | 0.7792 | 0.5114 | 0.5316 | 0.3255 | 0.9132 | 0.9094 | 0.9052 | 0.9212 |
| 6 | 0.7782 | 0.5112 | 0.5311 | 0.3248 | 0.8946 | 0.8862 | 0.879 | 0.9059 |
| 7 | 0.7772 | 0.5112 | 0.5293 | 0.3247 | 0.8757 | 0.8594 | 0.8543 | 0.885 |
| normal_dim_iteration 256 10_Targets | normal_dim_iteration 128 10_Targets | normal_dim_iteration 64 10_Targets | normal_dim_iteration 32 10_Targets | normal_dim_iteration 128 Mnist | normal_dim_iteration 64 Mnist | normal_dim_iteration 32 Mnist | normal_dim_iteration 256 Mnist | |
|---|---|---|---|---|---|---|---|---|
| 0 | 0.35979 | 0.331481 | 0.311737 | 0.313484 | 0.0327794 | 0.0288511 | 0.0340299 | 0.0304997 |
| 1 | 0.374419 | 0.381863 | 0.355758 | 0.357542 | 0.0440889 | 0.04114 | 0.047371 | 0.0409075 |
| 2 | 0.385522 | 0.419019 | 0.382428 | 0.378265 | 0.0583294 | 0.0560521 | 0.0637534 | 0.0537868 |
| 3 | 0.393742 | 0.437074 | 0.395776 | 0.4018 | 0.0739324 | 0.0720884 | 0.081596 | 0.0678473 |
| 4 | 0.398852 | 0.441628 | 0.40141 | 0.410464 | 0.0900771 | 0.0882952 | 0.100103 | 0.0824141 |
| 5 | 0.401655 | 0.442743 | 0.403548 | 0.412815 | 0.106276 | 0.104457 | 0.118781 | 0.0971141 |
| 6 | 0.403356 | 0.443029 | 0.404716 | 0.413285 | 0.122199 | 0.120098 | 0.13682 | 0.111705 |
| 7 | 0.404287 | 0.443135 | 0.405532 | 0.413459 | 0.137674 | 0.134989 | 0.154942 | 0.126033 |
| normal_dim_iteration 256 10_Targets | normal_dim_iteration 128 10_Targets | normal_dim_iteration 64 10_Targets | normal_dim_iteration 32 10_Targets | normal_dim_iteration 128 Mnist | normal_dim_iteration 64 Mnist | normal_dim_iteration 32 Mnist | normal_dim_iteration 256 Mnist | |
|---|---|---|---|---|---|---|---|---|
| 0 | 0.257841 | 0.265122 | 0.252246 | 0.258131 | 0.058485 | 0.0539766 | 0.0598696 | 0.0561558 |
| 1 | 0.259482 | 0.274517 | 0.259395 | 0.259984 | 0.0681555 | 0.0646586 | 0.071011 | 0.0652441 |
| 2 | 0.260869 | 0.280912 | 0.262711 | 0.261645 | 0.078834 | 0.0758545 | 0.082992 | 0.0750938 |
| 3 | 0.262141 | 0.284515 | 0.264405 | 0.262598 | 0.0895451 | 0.0867817 | 0.0949454 | 0.0849727 |
| 4 | 0.262938 | 0.285467 | 0.265119 | 0.263559 | 0.0999426 | 0.0971184 | 0.106588 | 0.0946146 |
| 5 | 0.263325 | 0.285702 | 0.265369 | 0.263891 | 0.109904 | 0.106923 | 0.117814 | 0.103896 |
| 6 | 0.263517 | 0.285771 | 0.265536 | 0.263952 | 0.119359 | 0.116086 | 0.128351 | 0.112791 |
| 7 | 0.263655 | 0.285792 | 0.265661 | 0.263973 | 0.12829 | 0.124593 | 0.138637 | 0.121289 |
predictions_df_10
| normal_dim_iteration 256 10_Targets | normal_dim_iteration 128 10_Targets | normal_dim_iteration 64 10_Targets | normal_dim_iteration 32 10_Targets | normal_dim_iteration 128 Mnist | normal_dim_iteration 64 Mnist | normal_dim_iteration 32 Mnist | normal_dim_iteration 256 Mnist | |
|---|---|---|---|---|---|---|---|---|
| 0 | 0.9384 | 0.8707 | 0.8684 | 0.8142 | 0.9279 | 0.9214 | 0.9369 | 0.9245 |
| 1 | 0.8257 | 0.5566 | 0.6036 | 0.4045 | 0.9371 | 0.9352 | 0.9424 | 0.9344 |
| 2 | 0.79 | 0.5145 | 0.5469 | 0.3535 | 0.9255 | 0.9271 | 0.9307 | 0.9268 |
| 3 | 0.7738 | 0.5052 | 0.5312 | 0.3351 | 0.9099 | 0.9096 | 0.9121 | 0.9129 |
| 4 | 0.7672 | 0.5028 | 0.5279 | 0.3274 | 0.8916 | 0.8875 | 0.8918 | 0.8987 |
| 5 | 0.7652 | 0.5028 | 0.5272 | 0.3231 | 0.8716 | 0.8625 | 0.8634 | 0.8831 |
| 6 | 0.7638 | 0.5027 | 0.5262 | 0.3222 | 0.8449 | 0.8356 | 0.8349 | 0.8601 |
| 7 | 0.7632 | 0.5026 | 0.5255 | 0.3222 | 0.8214 | 0.808 | 0.8035 | 0.8357 |
| normal_dim_iteration 256 10_Targets | normal_dim_iteration 128 10_Targets | normal_dim_iteration 64 10_Targets | normal_dim_iteration 32 10_Targets | normal_dim_iteration 128 Mnist | normal_dim_iteration 64 Mnist | normal_dim_iteration 32 Mnist | normal_dim_iteration 256 Mnist | |
|---|---|---|---|---|---|---|---|---|
| 0 | 0.358889 | 0.332155 | 0.310855 | 0.313416 | 0.0688862 | 0.0646112 | 0.0627688 | 0.0710904 |
| 1 | 0.375126 | 0.383949 | 0.356516 | 0.357368 | 0.0745215 | 0.0715365 | 0.0723467 | 0.0741792 |
| 2 | 0.387108 | 0.42164 | 0.383717 | 0.378277 | 0.0866874 | 0.084294 | 0.086783 | 0.0841871 |
| 3 | 0.395259 | 0.439556 | 0.397391 | 0.401955 | 0.101211 | 0.0989651 | 0.103826 | 0.0966246 |
| 4 | 0.400242 | 0.444101 | 0.402681 | 0.411255 | 0.116575 | 0.114241 | 0.121914 | 0.110063 |
| 5 | 0.403219 | 0.445331 | 0.404631 | 0.41393 | 0.132044 | 0.129561 | 0.141397 | 0.123848 |
| 6 | 0.405007 | 0.445735 | 0.405743 | 0.414668 | 0.147246 | 0.144183 | 0.161336 | 0.137611 |
| 7 | 0.405857 | 0.445849 | 0.406489 | 0.414819 | 0.161918 | 0.158106 | 0.179842 | 0.151104 |
| normal_dim_iteration 256 10_Targets | normal_dim_iteration 128 10_Targets | normal_dim_iteration 64 10_Targets | normal_dim_iteration 32 10_Targets | normal_dim_iteration 128 Mnist | normal_dim_iteration 64 Mnist | normal_dim_iteration 32 Mnist | normal_dim_iteration 256 Mnist | |
|---|---|---|---|---|---|---|---|---|
| 0 | 0.258372 | 0.265957 | 0.252702 | 0.258366 | 0.0890807 | 0.0843955 | 0.0846841 | 0.0903962 |
| 1 | 0.260235 | 0.275855 | 0.260027 | 0.260541 | 0.0919561 | 0.0879388 | 0.0900578 | 0.0915425 |
| 2 | 0.261727 | 0.28236 | 0.26343 | 0.262108 | 0.099129 | 0.095495 | 0.0988684 | 0.0973095 |
| 3 | 0.262967 | 0.285898 | 0.265037 | 0.263036 | 0.107695 | 0.104167 | 0.109113 | 0.104716 |
| 4 | 0.263674 | 0.286875 | 0.265688 | 0.264109 | 0.116623 | 0.11303 | 0.119731 | 0.112687 |
| 5 | 0.264073 | 0.28713 | 0.265929 | 0.26454 | 0.125454 | 0.121717 | 0.130809 | 0.120762 |
| 6 | 0.264323 | 0.287209 | 0.266073 | 0.264642 | 0.133975 | 0.129899 | 0.141852 | 0.128704 |
| 7 | 0.264472 | 0.287238 | 0.266171 | 0.264652 | 0.142092 | 0.13757 | 0.152006 | 0.136394 |
predictions_df_20
| normal_dim_iteration 256 10_Targets | normal_dim_iteration 128 10_Targets | normal_dim_iteration 64 10_Targets | normal_dim_iteration 32 10_Targets | normal_dim_iteration 128 Mnist | normal_dim_iteration 64 Mnist | normal_dim_iteration 32 Mnist | normal_dim_iteration 256 Mnist | |
|---|---|---|---|---|---|---|---|---|
| 0 | 0.91 | 0.8412 | 0.8424 | 0.79 | 0.8754 | 0.8534 | 0.8814 | 0.8591 |
| 1 | 0.8051 | 0.5483 | 0.5948 | 0.3989 | 0.8891 | 0.8806 | 0.8993 | 0.8743 |
| 2 | 0.7692 | 0.5092 | 0.5449 | 0.3526 | 0.8821 | 0.8703 | 0.8864 | 0.8639 |
| 3 | 0.7545 | 0.4977 | 0.5283 | 0.3316 | 0.8623 | 0.8522 | 0.8602 | 0.848 |
| 4 | 0.7492 | 0.4971 | 0.5249 | 0.3227 | 0.8389 | 0.8243 | 0.8337 | 0.8298 |
| 5 | 0.7482 | 0.4963 | 0.5228 | 0.3195 | 0.8094 | 0.7967 | 0.8032 | 0.808 |
| 6 | 0.7468 | 0.4962 | 0.5218 | 0.3186 | 0.7803 | 0.7652 | 0.7689 | 0.7843 |
| 7 | 0.7465 | 0.4962 | 0.5209 | 0.3185 | 0.753 | 0.7378 | 0.7382 | 0.7596 |
| normal_dim_iteration 256 10_Targets | normal_dim_iteration 128 10_Targets | normal_dim_iteration 64 10_Targets | normal_dim_iteration 32 10_Targets | normal_dim_iteration 128 Mnist | normal_dim_iteration 64 Mnist | normal_dim_iteration 32 Mnist | normal_dim_iteration 256 Mnist | |
|---|---|---|---|---|---|---|---|---|
| 0 | 0.358313 | 0.332956 | 0.310159 | 0.312293 | 0.105082 | 0.105289 | 0.0933875 | 0.112394 |
| 1 | 0.375251 | 0.385393 | 0.356036 | 0.357125 | 0.107405 | 0.110804 | 0.101813 | 0.11059 |
| 2 | 0.387484 | 0.423282 | 0.383711 | 0.379272 | 0.118473 | 0.122286 | 0.11643 | 0.118996 |
| 3 | 0.396304 | 0.441523 | 0.397665 | 0.403671 | 0.132269 | 0.135586 | 0.133815 | 0.130422 |
| 4 | 0.401385 | 0.445851 | 0.40384 | 0.412715 | 0.146998 | 0.149204 | 0.152888 | 0.142944 |
| 5 | 0.404299 | 0.447107 | 0.406057 | 0.415283 | 0.161835 | 0.163127 | 0.1738 | 0.155778 |
| 6 | 0.406125 | 0.44758 | 0.407082 | 0.415974 | 0.176369 | 0.17617 | 0.194453 | 0.168562 |
| 7 | 0.407 | 0.447678 | 0.407796 | 0.416158 | 0.190358 | 0.188886 | 0.21328 | 0.181127 |
| normal_dim_iteration 256 10_Targets | normal_dim_iteration 128 10_Targets | normal_dim_iteration 64 10_Targets | normal_dim_iteration 32 10_Targets | normal_dim_iteration 128 Mnist | normal_dim_iteration 64 Mnist | normal_dim_iteration 32 Mnist | normal_dim_iteration 256 Mnist | |
|---|---|---|---|---|---|---|---|---|
| 0 | 0.258986 | 0.266834 | 0.253085 | 0.258932 | 0.114449 | 0.111544 | 0.106476 | 0.11919 |
| 1 | 0.260914 | 0.277025 | 0.260496 | 0.261268 | 0.11441 | 0.112726 | 0.109693 | 0.116854 |
| 2 | 0.262308 | 0.283489 | 0.26396 | 0.262899 | 0.11983 | 0.118414 | 0.117336 | 0.120637 |
| 3 | 0.263664 | 0.286979 | 0.2656 | 0.263862 | 0.12705 | 0.125505 | 0.126797 | 0.126513 |
| 4 | 0.264366 | 0.287879 | 0.266302 | 0.264841 | 0.13489 | 0.132924 | 0.13716 | 0.133241 |
| 5 | 0.264681 | 0.288136 | 0.266546 | 0.26521 | 0.142799 | 0.1405 | 0.148423 | 0.140233 |
| 6 | 0.264901 | 0.288244 | 0.266684 | 0.26532 | 0.150535 | 0.147577 | 0.159457 | 0.147219 |
| 7 | 0.265048 | 0.288265 | 0.266786 | 0.265358 | 0.157927 | 0.154405 | 0.169458 | 0.154073 |
predictions_df_30
| normal_dim_iteration 256 10_Targets | normal_dim_iteration 128 10_Targets | normal_dim_iteration 64 10_Targets | normal_dim_iteration 32 10_Targets | normal_dim_iteration 128 Mnist | normal_dim_iteration 64 Mnist | normal_dim_iteration 32 Mnist | normal_dim_iteration 256 Mnist | |
|---|---|---|---|---|---|---|---|---|
| 0 | 0.8611 | 0.8012 | 0.8062 | 0.7661 | 0.8195 | 0.7929 | 0.8189 | 0.7769 |
| 1 | 0.771 | 0.5271 | 0.5843 | 0.398 | 0.8326 | 0.8223 | 0.8342 | 0.7938 |
| 2 | 0.7436 | 0.4869 | 0.5314 | 0.3467 | 0.8215 | 0.8127 | 0.8205 | 0.7857 |
| 3 | 0.7296 | 0.4758 | 0.5158 | 0.3262 | 0.8013 | 0.7931 | 0.7942 | 0.7646 |
| 4 | 0.7233 | 0.4746 | 0.5117 | 0.3179 | 0.7719 | 0.7589 | 0.763 | 0.7412 |
| 5 | 0.7212 | 0.4743 | 0.5108 | 0.3142 | 0.744 | 0.7252 | 0.7323 | 0.7213 |
| 6 | 0.7207 | 0.4744 | 0.509 | 0.313 | 0.7135 | 0.6985 | 0.7006 | 0.6989 |
| 7 | 0.72 | 0.4744 | 0.5083 | 0.3126 | 0.6849 | 0.6658 | 0.6675 | 0.6738 |
| normal_dim_iteration 256 10_Targets | normal_dim_iteration 128 10_Targets | normal_dim_iteration 64 10_Targets | normal_dim_iteration 32 10_Targets | normal_dim_iteration 128 Mnist | normal_dim_iteration 64 Mnist | normal_dim_iteration 32 Mnist | normal_dim_iteration 256 Mnist | |
|---|---|---|---|---|---|---|---|---|
| 0 | 0.357751 | 0.334772 | 0.309412 | 0.312007 | 0.141699 | 0.147597 | 0.135794 | 0.154849 |
| 1 | 0.376503 | 0.389505 | 0.357206 | 0.358172 | 0.1415 | 0.151345 | 0.153006 | 0.148686 |
| 2 | 0.389318 | 0.428542 | 0.385363 | 0.380728 | 0.151484 | 0.160894 | 0.167243 | 0.155493 |
| 3 | 0.398415 | 0.447329 | 0.399567 | 0.405104 | 0.164435 | 0.172652 | 0.183931 | 0.165705 |
| 4 | 0.403963 | 0.452288 | 0.405372 | 0.414328 | 0.178311 | 0.1848 | 0.204266 | 0.177148 |
| 5 | 0.407298 | 0.45361 | 0.407457 | 0.417021 | 0.192196 | 0.196557 | 0.226432 | 0.189018 |
| 6 | 0.409379 | 0.453998 | 0.408492 | 0.417854 | 0.20574 | 0.207964 | 0.24766 | 0.200879 |
| 7 | 0.410389 | 0.454055 | 0.409383 | 0.418032 | 0.21873 | 0.218695 | 0.267834 | 0.212546 |
| normal_dim_iteration 256 10_Targets | normal_dim_iteration 128 10_Targets | normal_dim_iteration 64 10_Targets | normal_dim_iteration 32 10_Targets | normal_dim_iteration 128 Mnist | normal_dim_iteration 64 Mnist | normal_dim_iteration 32 Mnist | normal_dim_iteration 256 Mnist | |
|---|---|---|---|---|---|---|---|---|
| 0 | 0.260376 | 0.26839 | 0.25385 | 0.259506 | 0.137744 | 0.137232 | 0.132684 | 0.146075 |
| 1 | 0.262571 | 0.279789 | 0.261373 | 0.261976 | 0.135955 | 0.136613 | 0.139165 | 0.141432 |
| 2 | 0.263941 | 0.286764 | 0.264818 | 0.263464 | 0.140115 | 0.140651 | 0.145724 | 0.143798 |
| 3 | 0.265251 | 0.290401 | 0.266565 | 0.264564 | 0.14624 | 0.146315 | 0.154119 | 0.148406 |
| 4 | 0.266 | 0.291426 | 0.267251 | 0.265683 | 0.153093 | 0.152467 | 0.164579 | 0.154027 |
| 5 | 0.266394 | 0.291683 | 0.267493 | 0.266112 | 0.160071 | 0.158585 | 0.175979 | 0.160082 |
| 6 | 0.266639 | 0.29177 | 0.267636 | 0.266225 | 0.166916 | 0.164581 | 0.186898 | 0.166232 |
| 7 | 0.266792 | 0.291781 | 0.267774 | 0.26626 | 0.173475 | 0.170206 | 0.197275 | 0.172326 |
predictions_df_40
| normal_dim_iteration 256 10_Targets | normal_dim_iteration 128 10_Targets | normal_dim_iteration 64 10_Targets | normal_dim_iteration 32 10_Targets | normal_dim_iteration 128 Mnist | normal_dim_iteration 64 Mnist | normal_dim_iteration 32 Mnist | normal_dim_iteration 256 Mnist | |
|---|---|---|---|---|---|---|---|---|
| 0 | 0.8131 | 0.7544 | 0.7583 | 0.7288 | 0.7551 | 0.7196 | 0.7485 | 0.6983 |
| 1 | 0.74 | 0.5124 | 0.574 | 0.3896 | 0.7627 | 0.7424 | 0.7698 | 0.7084 |
| 2 | 0.7122 | 0.4759 | 0.5242 | 0.3455 | 0.7443 | 0.7307 | 0.758 | 0.6952 |
| 3 | 0.7006 | 0.4672 | 0.5057 | 0.3264 | 0.7171 | 0.717 | 0.7326 | 0.6739 |
| 4 | 0.6954 | 0.4655 | 0.504 | 0.3166 | 0.6873 | 0.6845 | 0.7007 | 0.6539 |
| 5 | 0.6928 | 0.465 | 0.503 | 0.3117 | 0.6604 | 0.6487 | 0.664 | 0.6296 |
| 6 | 0.6921 | 0.4649 | 0.5017 | 0.3111 | 0.6277 | 0.6156 | 0.6315 | 0.6073 |
| 7 | 0.691 | 0.4649 | 0.5001 | 0.3106 | 0.6003 | 0.5864 | 0.6016 | 0.586 |
| normal_dim_iteration 256 10_Targets | normal_dim_iteration 128 10_Targets | normal_dim_iteration 64 10_Targets | normal_dim_iteration 32 10_Targets | normal_dim_iteration 128 Mnist | normal_dim_iteration 64 Mnist | normal_dim_iteration 32 Mnist | normal_dim_iteration 256 Mnist | |
|---|---|---|---|---|---|---|---|---|
| 0 | 0.35821 | 0.336428 | 0.308791 | 0.311378 | 0.181517 | 0.197497 | 0.178541 | 0.197786 |
| 1 | 0.37825 | 0.393082 | 0.358126 | 0.357648 | 0.179061 | 0.199935 | 0.196713 | 0.187864 |
| 2 | 0.39223 | 0.432584 | 0.387202 | 0.380517 | 0.187617 | 0.208128 | 0.210777 | 0.193249 |
| 3 | 0.401966 | 0.451348 | 0.401555 | 0.404747 | 0.199142 | 0.218192 | 0.227614 | 0.202288 |
| 4 | 0.407897 | 0.456047 | 0.4079 | 0.415025 | 0.211809 | 0.228735 | 0.248438 | 0.212556 |
| 5 | 0.411408 | 0.457264 | 0.410055 | 0.417688 | 0.224675 | 0.239129 | 0.269568 | 0.223192 |
| 6 | 0.413765 | 0.457616 | 0.411094 | 0.418361 | 0.237233 | 0.248112 | 0.289882 | 0.233831 |
| 7 | 0.414973 | 0.457715 | 0.411854 | 0.418619 | 0.249212 | 0.255854 | 0.312281 | 0.244314 |
| normal_dim_iteration 256 10_Targets | normal_dim_iteration 128 10_Targets | normal_dim_iteration 64 10_Targets | normal_dim_iteration 32 10_Targets | normal_dim_iteration 128 Mnist | normal_dim_iteration 64 Mnist | normal_dim_iteration 32 Mnist | normal_dim_iteration 256 Mnist | |
|---|---|---|---|---|---|---|---|---|
| 0 | 0.262148 | 0.270291 | 0.254849 | 0.259529 | 0.161297 | 0.165441 | 0.157817 | 0.171916 |
| 1 | 0.264654 | 0.282077 | 0.262469 | 0.262114 | 0.158112 | 0.163563 | 0.164118 | 0.165492 |
| 2 | 0.266285 | 0.288922 | 0.26605 | 0.263444 | 0.161113 | 0.166548 | 0.169905 | 0.166829 |
| 3 | 0.267664 | 0.292459 | 0.267847 | 0.264771 | 0.166057 | 0.171014 | 0.177762 | 0.170478 |
| 4 | 0.268475 | 0.293405 | 0.268611 | 0.265965 | 0.171846 | 0.176103 | 0.187945 | 0.175128 |
| 5 | 0.268874 | 0.293662 | 0.268875 | 0.266374 | 0.177929 | 0.181367 | 0.198435 | 0.180209 |
| 6 | 0.269114 | 0.293742 | 0.269009 | 0.266505 | 0.183964 | 0.186023 | 0.20865 | 0.185446 |
| 7 | 0.269302 | 0.293766 | 0.26912 | 0.266539 | 0.189762 | 0.190069 | 0.219915 | 0.190698 |
predictions_df_50
| normal_dim_iteration 256 10_Targets | normal_dim_iteration 128 10_Targets | normal_dim_iteration 64 10_Targets | normal_dim_iteration 32 10_Targets | normal_dim_iteration 128 Mnist | normal_dim_iteration 64 Mnist | normal_dim_iteration 32 Mnist | normal_dim_iteration 256 Mnist | |
|---|---|---|---|---|---|---|---|---|
| 0 | 0.7293 | 0.6883 | 0.7076 | 0.6829 | 0.6896 | 0.6431 | 0.6834 | 0.6153 |
| 1 | 0.6911 | 0.4959 | 0.5606 | 0.3804 | 0.6903 | 0.6614 | 0.6967 | 0.621 |
| 2 | 0.6642 | 0.461 | 0.5144 | 0.3379 | 0.6699 | 0.656 | 0.6762 | 0.6084 |
| 3 | 0.6543 | 0.4516 | 0.4994 | 0.3156 | 0.6405 | 0.6394 | 0.646 | 0.5911 |
| 4 | 0.649 | 0.4496 | 0.4946 | 0.304 | 0.6087 | 0.6071 | 0.6179 | 0.571 |
| 5 | 0.648 | 0.4496 | 0.4928 | 0.3005 | 0.5804 | 0.5702 | 0.5826 | 0.5513 |
| 6 | 0.6463 | 0.4494 | 0.4909 | 0.2997 | 0.5518 | 0.5399 | 0.5509 | 0.5316 |
| 7 | 0.6458 | 0.4494 | 0.4892 | 0.2994 | 0.5308 | 0.5139 | 0.5209 | 0.5115 |
| normal_dim_iteration 256 10_Targets | normal_dim_iteration 128 10_Targets | normal_dim_iteration 64 10_Targets | normal_dim_iteration 32 10_Targets | normal_dim_iteration 128 Mnist | normal_dim_iteration 64 Mnist | normal_dim_iteration 32 Mnist | normal_dim_iteration 256 Mnist | |
|---|---|---|---|---|---|---|---|---|
| 0 | 0.358809 | 0.338873 | 0.309024 | 0.312859 | 0.224678 | 0.262785 | 0.245245 | 0.239754 |
| 1 | 0.380537 | 0.396713 | 0.358363 | 0.35917 | 0.219608 | 0.262238 | 0.272247 | 0.225392 |
| 2 | 0.396252 | 0.436513 | 0.386562 | 0.382608 | 0.225386 | 0.268007 | 0.288712 | 0.229338 |
| 3 | 0.406978 | 0.456022 | 0.401071 | 0.407194 | 0.23434 | 0.275452 | 0.306249 | 0.237216 |
| 4 | 0.413205 | 0.461212 | 0.407786 | 0.417604 | 0.245477 | 0.283675 | 0.32705 | 0.24631 |
| 5 | 0.416857 | 0.462325 | 0.410434 | 0.420525 | 0.257074 | 0.289688 | 0.347783 | 0.255738 |
| 6 | 0.419361 | 0.462581 | 0.411653 | 0.421274 | 0.268422 | 0.294004 | 0.37245 | 0.265194 |
| 7 | 0.420718 | 0.462668 | 0.412481 | 0.421444 | 0.279231 | 0.299518 | 0.395779 | 0.274468 |
| normal_dim_iteration 256 10_Targets | normal_dim_iteration 128 10_Targets | normal_dim_iteration 64 10_Targets | normal_dim_iteration 32 10_Targets | normal_dim_iteration 128 Mnist | normal_dim_iteration 64 Mnist | normal_dim_iteration 32 Mnist | normal_dim_iteration 256 Mnist | |
|---|---|---|---|---|---|---|---|---|
| 0 | 0.2643 | 0.271933 | 0.255672 | 0.261034 | 0.185227 | 0.200095 | 0.193445 | 0.195784 |
| 1 | 0.267377 | 0.284532 | 0.26327 | 0.263848 | 0.180532 | 0.196052 | 0.203622 | 0.187391 |
| 2 | 0.269332 | 0.291435 | 0.266622 | 0.26522 | 0.18207 | 0.197798 | 0.210235 | 0.187969 |
| 3 | 0.270853 | 0.295121 | 0.268368 | 0.266285 | 0.185547 | 0.200798 | 0.218021 | 0.190829 |
| 4 | 0.271603 | 0.29617 | 0.26915 | 0.267346 | 0.190355 | 0.204612 | 0.227833 | 0.194654 |
| 5 | 0.271963 | 0.29637 | 0.269393 | 0.267807 | 0.195549 | 0.207645 | 0.237778 | 0.198887 |
| 6 | 0.272165 | 0.296422 | 0.269511 | 0.267939 | 0.200724 | 0.209961 | 0.249925 | 0.203303 |
| 7 | 0.272354 | 0.296441 | 0.269596 | 0.267966 | 0.205712 | 0.212845 | 0.261387 | 0.207738 |
predictions_df_60
| normal_dim_iteration 256 10_Targets | normal_dim_iteration 128 10_Targets | normal_dim_iteration 64 10_Targets | normal_dim_iteration 32 10_Targets | normal_dim_iteration 128 Mnist | normal_dim_iteration 64 Mnist | normal_dim_iteration 32 Mnist | normal_dim_iteration 256 Mnist | |
|---|---|---|---|---|---|---|---|---|
| 0 | 0.6497 | 0.6263 | 0.6492 | 0.6127 | 0.6277 | 0.5693 | 0.614 | 0.5495 |
| 1 | 0.6394 | 0.4724 | 0.5402 | 0.3751 | 0.6164 | 0.5742 | 0.6166 | 0.5498 |
| 2 | 0.6219 | 0.4415 | 0.4931 | 0.328 | 0.593 | 0.56 | 0.5919 | 0.5311 |
| 3 | 0.6131 | 0.4332 | 0.4788 | 0.3076 | 0.5593 | 0.5468 | 0.5587 | 0.5197 |
| 4 | 0.6097 | 0.4313 | 0.4728 | 0.3002 | 0.5252 | 0.5197 | 0.5228 | 0.5034 |
| 5 | 0.6096 | 0.431 | 0.4714 | 0.2963 | 0.4996 | 0.4851 | 0.4952 | 0.4878 |
| 6 | 0.6076 | 0.431 | 0.4707 | 0.2945 | 0.4765 | 0.4617 | 0.468 | 0.4706 |
| 7 | 0.6075 | 0.4309 | 0.4692 | 0.2945 | 0.4559 | 0.4417 | 0.4387 | 0.4545 |
| normal_dim_iteration 256 10_Targets | normal_dim_iteration 128 10_Targets | normal_dim_iteration 64 10_Targets | normal_dim_iteration 32 10_Targets | normal_dim_iteration 128 Mnist | normal_dim_iteration 64 Mnist | normal_dim_iteration 32 Mnist | normal_dim_iteration 256 Mnist | |
|---|---|---|---|---|---|---|---|---|
| 0 | 0.36224 | 0.341183 | 0.3099 | 0.315223 | 0.266008 | 0.338149 | 0.319893 | 0.282692 |
| 1 | 0.38588 | 0.400739 | 0.361553 | 0.361114 | 0.257642 | 0.334487 | 0.360218 | 0.262748 |
| 2 | 0.401751 | 0.442487 | 0.39097 | 0.38641 | 0.260749 | 0.337019 | 0.377786 | 0.264925 |
| 3 | 0.412786 | 0.463125 | 0.405489 | 0.410324 | 0.267348 | 0.341497 | 0.395699 | 0.271553 |
| 4 | 0.419752 | 0.468533 | 0.412391 | 0.420623 | 0.276998 | 0.345822 | 0.416839 | 0.27949 |
| 5 | 0.423764 | 0.469752 | 0.415067 | 0.423555 | 0.287553 | 0.347728 | 0.442461 | 0.287878 |
| 6 | 0.426583 | 0.470062 | 0.416241 | 0.424366 | 0.297951 | 0.348568 | 0.470768 | 0.296438 |
| 7 | 0.428064 | 0.470176 | 0.416861 | 0.424519 | 0.307807 | 0.348002 | 0.496425 | 0.304978 |
| normal_dim_iteration 256 10_Targets | normal_dim_iteration 128 10_Targets | normal_dim_iteration 64 10_Targets | normal_dim_iteration 32 10_Targets | normal_dim_iteration 128 Mnist | normal_dim_iteration 64 Mnist | normal_dim_iteration 32 Mnist | normal_dim_iteration 256 Mnist | |
|---|---|---|---|---|---|---|---|---|
| 0 | 0.267372 | 0.274405 | 0.257804 | 0.262604 | 0.207578 | 0.23917 | 0.232543 | 0.219616 |
| 1 | 0.270848 | 0.287963 | 0.265699 | 0.265389 | 0.201033 | 0.23275 | 0.248547 | 0.208759 |
| 2 | 0.272862 | 0.295387 | 0.269121 | 0.266852 | 0.201225 | 0.233001 | 0.255477 | 0.208419 |
| 3 | 0.274378 | 0.299177 | 0.270785 | 0.267962 | 0.203468 | 0.234511 | 0.263201 | 0.210492 |
| 4 | 0.275229 | 0.300208 | 0.271541 | 0.268972 | 0.207416 | 0.236363 | 0.272984 | 0.213562 |
| 5 | 0.275677 | 0.30048 | 0.27183 | 0.269401 | 0.211944 | 0.23744 | 0.285249 | 0.217126 |
| 6 | 0.27601 | 0.300549 | 0.271951 | 0.269521 | 0.216504 | 0.238056 | 0.298867 | 0.220953 |
| 7 | 0.276239 | 0.300574 | 0.272027 | 0.269542 | 0.220889 | 0.238014 | 0.31125 | 0.224882 |
predictions_df_70
| normal_dim_iteration 256 10_Targets | normal_dim_iteration 128 10_Targets | normal_dim_iteration 64 10_Targets | normal_dim_iteration 32 10_Targets | normal_dim_iteration 128 Mnist | normal_dim_iteration 64 Mnist | normal_dim_iteration 32 Mnist | normal_dim_iteration 256 Mnist | |
|---|---|---|---|---|---|---|---|---|
| 0 | 0.5581 | 0.5453 | 0.5733 | 0.5534 | 0.5501 | 0.4739 | 0.5292 | 0.4741 |
| 1 | 0.5713 | 0.4386 | 0.501 | 0.3603 | 0.5284 | 0.4756 | 0.5192 | 0.4672 |
| 2 | 0.5536 | 0.4037 | 0.4686 | 0.3188 | 0.5008 | 0.4707 | 0.496 | 0.4541 |
| 3 | 0.5467 | 0.3949 | 0.4535 | 0.299 | 0.4755 | 0.4657 | 0.4646 | 0.4394 |
| 4 | 0.544 | 0.3941 | 0.4485 | 0.2917 | 0.447 | 0.4361 | 0.432 | 0.4291 |
| 5 | 0.5422 | 0.3936 | 0.4476 | 0.2872 | 0.4225 | 0.4033 | 0.4052 | 0.4122 |
| 6 | 0.5422 | 0.3934 | 0.4461 | 0.2855 | 0.4012 | 0.3825 | 0.38 | 0.4028 |
| 7 | 0.5417 | 0.3933 | 0.4442 | 0.285 | 0.3856 | 0.3641 | 0.3612 | 0.3912 |
| normal_dim_iteration 256 10_Targets | normal_dim_iteration 128 10_Targets | normal_dim_iteration 64 10_Targets | normal_dim_iteration 32 10_Targets | normal_dim_iteration 128 Mnist | normal_dim_iteration 64 Mnist | normal_dim_iteration 32 Mnist | normal_dim_iteration 256 Mnist | |
|---|---|---|---|---|---|---|---|---|
| 0 | 0.369224 | 0.345955 | 0.311881 | 0.317406 | 0.316189 | 0.419801 | 0.434026 | 0.322803 |
| 1 | 0.393528 | 0.406825 | 0.365674 | 0.3619 | 0.302654 | 0.412798 | 0.487743 | 0.298083 |
| 2 | 0.410886 | 0.448114 | 0.397274 | 0.387751 | 0.300138 | 0.413418 | 0.507145 | 0.29847 |
| 3 | 0.422645 | 0.468912 | 0.413296 | 0.411714 | 0.303122 | 0.414883 | 0.526456 | 0.30403 |
| 4 | 0.429936 | 0.474325 | 0.420686 | 0.422726 | 0.310791 | 0.414967 | 0.550898 | 0.311097 |
| 5 | 0.4342 | 0.475457 | 0.423339 | 0.426026 | 0.319694 | 0.41138 | 0.574983 | 0.318632 |
| 6 | 0.437447 | 0.475776 | 0.424428 | 0.427043 | 0.32861 | 0.407253 | 0.600394 | 0.326169 |
| 7 | 0.439206 | 0.475851 | 0.42502 | 0.427302 | 0.337159 | 0.4011 | 0.625728 | 0.333523 |
| normal_dim_iteration 256 10_Targets | normal_dim_iteration 128 10_Targets | normal_dim_iteration 64 10_Targets | normal_dim_iteration 32 10_Targets | normal_dim_iteration 128 Mnist | normal_dim_iteration 64 Mnist | normal_dim_iteration 32 Mnist | normal_dim_iteration 256 Mnist | |
|---|---|---|---|---|---|---|---|---|
| 0 | 0.272745 | 0.277317 | 0.260367 | 0.264246 | 0.233818 | 0.280713 | 0.290445 | 0.241499 |
| 1 | 0.276705 | 0.291148 | 0.269116 | 0.266845 | 0.224525 | 0.271567 | 0.312098 | 0.228371 |
| 2 | 0.278905 | 0.298405 | 0.273078 | 0.268187 | 0.222112 | 0.271069 | 0.319774 | 0.227258 |
| 3 | 0.280412 | 0.302177 | 0.274952 | 0.269233 | 0.222575 | 0.271136 | 0.328044 | 0.228748 |
| 4 | 0.281245 | 0.303268 | 0.275763 | 0.270374 | 0.225475 | 0.271041 | 0.339222 | 0.231257 |
| 5 | 0.28162 | 0.303509 | 0.276064 | 0.27084 | 0.229055 | 0.269562 | 0.350549 | 0.234261 |
| 6 | 0.281906 | 0.303578 | 0.276192 | 0.270975 | 0.232732 | 0.26786 | 0.362671 | 0.23744 |
| 7 | 0.282155 | 0.303594 | 0.276249 | 0.271026 | 0.236317 | 0.265184 | 0.374863 | 0.240662 |
predictions_df_80
| normal_dim_iteration 256 10_Targets | normal_dim_iteration 128 10_Targets | normal_dim_iteration 64 10_Targets | normal_dim_iteration 32 10_Targets | normal_dim_iteration 128 Mnist | normal_dim_iteration 64 Mnist | normal_dim_iteration 32 Mnist | normal_dim_iteration 256 Mnist | |
|---|---|---|---|---|---|---|---|---|
| 0 | 0.4697 | 0.4648 | 0.5094 | 0.4792 | 0.4676 | 0.3949 | 0.4403 | 0.4137 |
| 1 | 0.5005 | 0.4016 | 0.4749 | 0.348 | 0.4456 | 0.3747 | 0.4192 | 0.4073 |
| 2 | 0.4881 | 0.3816 | 0.4408 | 0.3041 | 0.418 | 0.3791 | 0.3917 | 0.3931 |
| 3 | 0.4827 | 0.374 | 0.4265 | 0.2822 | 0.395 | 0.3793 | 0.3683 | 0.3796 |
| 4 | 0.4803 | 0.3718 | 0.4229 | 0.2747 | 0.3716 | 0.3549 | 0.347 | 0.374 |
| 5 | 0.48 | 0.3716 | 0.4223 | 0.2715 | 0.3551 | 0.3289 | 0.3307 | 0.3613 |
| 6 | 0.4805 | 0.3714 | 0.4214 | 0.2701 | 0.3366 | 0.3079 | 0.31 | 0.3503 |
| 7 | 0.4801 | 0.3714 | 0.4205 | 0.2699 | 0.3271 | 0.2944 | 0.2916 | 0.3441 |
| normal_dim_iteration 256 10_Targets | normal_dim_iteration 128 10_Targets | normal_dim_iteration 64 10_Targets | normal_dim_iteration 32 10_Targets | normal_dim_iteration 128 Mnist | normal_dim_iteration 64 Mnist | normal_dim_iteration 32 Mnist | normal_dim_iteration 256 Mnist | |
|---|---|---|---|---|---|---|---|---|
| 0 | 0.378948 | 0.351417 | 0.316358 | 0.324838 | 0.36977 | 0.533207 | 0.569704 | 0.368075 |
| 1 | 0.404826 | 0.413695 | 0.371446 | 0.368994 | 0.348744 | 0.517298 | 0.631986 | 0.335975 |
| 2 | 0.422428 | 0.456294 | 0.404677 | 0.396098 | 0.338499 | 0.513233 | 0.650995 | 0.333339 |
| 3 | 0.434513 | 0.477671 | 0.42079 | 0.421293 | 0.337389 | 0.508775 | 0.670726 | 0.337404 |
| 4 | 0.442068 | 0.483496 | 0.428376 | 0.432232 | 0.342826 | 0.503893 | 0.69425 | 0.343338 |
| 5 | 0.446648 | 0.484821 | 0.431075 | 0.435557 | 0.350051 | 0.493788 | 0.719288 | 0.349773 |
| 6 | 0.449887 | 0.485139 | 0.432153 | 0.436487 | 0.357552 | 0.480665 | 0.744669 | 0.356366 |
| 7 | 0.451465 | 0.485242 | 0.433031 | 0.43669 | 0.364756 | 0.46696 | 0.770965 | 0.362948 |
| normal_dim_iteration 256 10_Targets | normal_dim_iteration 128 10_Targets | normal_dim_iteration 64 10_Targets | normal_dim_iteration 32 10_Targets | normal_dim_iteration 128 Mnist | normal_dim_iteration 64 Mnist | normal_dim_iteration 32 Mnist | normal_dim_iteration 256 Mnist | |
|---|---|---|---|---|---|---|---|---|
| 0 | 0.278619 | 0.280956 | 0.263978 | 0.269551 | 0.261427 | 0.337244 | 0.358063 | 0.26609 |
| 1 | 0.283124 | 0.295724 | 0.273384 | 0.271695 | 0.247938 | 0.322483 | 0.383166 | 0.249134 |
| 2 | 0.285366 | 0.303239 | 0.277567 | 0.273265 | 0.242093 | 0.320196 | 0.390645 | 0.246633 |
| 3 | 0.286946 | 0.307223 | 0.279397 | 0.274202 | 0.240702 | 0.317646 | 0.39903 | 0.247312 |
| 4 | 0.287744 | 0.308367 | 0.280214 | 0.27518 | 0.242474 | 0.31545 | 0.409729 | 0.249171 |
| 5 | 0.288136 | 0.308626 | 0.280462 | 0.275654 | 0.245147 | 0.311059 | 0.421356 | 0.251514 |
| 6 | 0.28838 | 0.308684 | 0.280569 | 0.27583 | 0.248018 | 0.305302 | 0.433456 | 0.254114 |
| 7 | 0.28858 | 0.308702 | 0.280677 | 0.275856 | 0.250846 | 0.299136 | 0.446042 | 0.256837 |
predictions_df_90
| normal_dim_iteration 256 10_Targets | normal_dim_iteration 128 10_Targets | normal_dim_iteration 64 10_Targets | normal_dim_iteration 32 10_Targets | normal_dim_iteration 128 Mnist | normal_dim_iteration 64 Mnist | normal_dim_iteration 32 Mnist | normal_dim_iteration 256 Mnist | |
|---|---|---|---|---|---|---|---|---|
| 0 | 0.3837 | 0.399 | 0.4325 | 0.4078 | 0.3886 | 0.3068 | 0.3649 | 0.3449 |
| 1 | 0.4304 | 0.3772 | 0.4378 | 0.3149 | 0.3585 | 0.2857 | 0.3384 | 0.3451 |
| 2 | 0.4218 | 0.3555 | 0.406 | 0.2808 | 0.3416 | 0.2924 | 0.3181 | 0.3344 |
| 3 | 0.4196 | 0.3464 | 0.3921 | 0.2655 | 0.324 | 0.3004 | 0.2952 | 0.3245 |
| 4 | 0.4155 | 0.3436 | 0.3881 | 0.257 | 0.311 | 0.2801 | 0.2725 | 0.3132 |
| 5 | 0.4154 | 0.3435 | 0.3858 | 0.2519 | 0.2938 | 0.253 | 0.2564 | 0.3077 |
| 6 | 0.415 | 0.3433 | 0.3852 | 0.2505 | 0.2859 | 0.238 | 0.2404 | 0.2994 |
| 7 | 0.4144 | 0.3431 | 0.3846 | 0.2502 | 0.2739 | 0.2328 | 0.2298 | 0.2922 |
| normal_dim_iteration 256 10_Targets | normal_dim_iteration 128 10_Targets | normal_dim_iteration 64 10_Targets | normal_dim_iteration 32 10_Targets | normal_dim_iteration 128 Mnist | normal_dim_iteration 64 Mnist | normal_dim_iteration 32 Mnist | normal_dim_iteration 256 Mnist | |
|---|---|---|---|---|---|---|---|---|
| 0 | 0.391975 | 0.359514 | 0.323418 | 0.330118 | 0.435323 | 0.661032 | 0.767784 | 0.414485 |
| 1 | 0.417451 | 0.422 | 0.380223 | 0.373354 | 0.402743 | 0.637116 | 0.858614 | 0.372306 |
| 2 | 0.435211 | 0.463338 | 0.414007 | 0.400857 | 0.380531 | 0.630203 | 0.878383 | 0.365236 |
| 3 | 0.447074 | 0.484401 | 0.43116 | 0.424223 | 0.372432 | 0.621419 | 0.897684 | 0.36706 |
| 4 | 0.454638 | 0.490431 | 0.438234 | 0.435726 | 0.374473 | 0.610698 | 0.92085 | 0.371367 |
| 5 | 0.459204 | 0.491961 | 0.441001 | 0.439697 | 0.379507 | 0.591822 | 0.949257 | 0.376426 |
| 6 | 0.462432 | 0.492413 | 0.442277 | 0.440833 | 0.38526 | 0.569918 | 0.977412 | 0.381808 |
| 7 | 0.464213 | 0.492543 | 0.442991 | 0.441138 | 0.391019 | 0.544754 | 1.00448 | 0.387279 |
| normal_dim_iteration 256 10_Targets | normal_dim_iteration 128 10_Targets | normal_dim_iteration 64 10_Targets | normal_dim_iteration 32 10_Targets | normal_dim_iteration 128 Mnist | normal_dim_iteration 64 Mnist | normal_dim_iteration 32 Mnist | normal_dim_iteration 256 Mnist | |
|---|---|---|---|---|---|---|---|---|
| 0 | 0.285029 | 0.284198 | 0.268048 | 0.272362 | 0.2943 | 0.399819 | 0.456104 | 0.290344 |
| 1 | 0.289668 | 0.29995 | 0.277921 | 0.274708 | 0.274507 | 0.379593 | 0.493798 | 0.267831 |
| 2 | 0.292042 | 0.307122 | 0.282527 | 0.275795 | 0.263226 | 0.376305 | 0.501724 | 0.263362 |
| 3 | 0.293605 | 0.310932 | 0.284614 | 0.276601 | 0.258678 | 0.371966 | 0.51005 | 0.262983 |
| 4 | 0.294492 | 0.312127 | 0.285333 | 0.277537 | 0.2589 | 0.367278 | 0.520512 | 0.263961 |
| 5 | 0.294932 | 0.312455 | 0.285639 | 0.278023 | 0.260544 | 0.359108 | 0.533874 | 0.265526 |
| 6 | 0.29515 | 0.312551 | 0.28576 | 0.278202 | 0.26258 | 0.349495 | 0.54733 | 0.267434 |
| 7 | 0.295343 | 0.312576 | 0.285784 | 0.278255 | 0.264693 | 0.338132 | 0.560265 | 0.269552 |
predictions_df_100
| normal_dim_iteration 256 10_Targets | normal_dim_iteration 128 10_Targets | normal_dim_iteration 64 10_Targets | normal_dim_iteration 32 10_Targets | normal_dim_iteration 128 Mnist | normal_dim_iteration 64 Mnist | normal_dim_iteration 32 Mnist | normal_dim_iteration 256 Mnist | |
|---|---|---|---|---|---|---|---|---|
| 0 | 0.2997 | 0.3248 | 0.3694 | 0.3413 | 0.3165 | 0.2385 | 0.2794 | 0.2989 |
| 1 | 0.3428 | 0.3338 | 0.3826 | 0.2834 | 0.2817 | 0.2169 | 0.2501 | 0.2938 |
| 2 | 0.3369 | 0.3185 | 0.3611 | 0.2551 | 0.2642 | 0.2274 | 0.2302 | 0.2798 |
| 3 | 0.3363 | 0.3118 | 0.3512 | 0.2447 | 0.2549 | 0.2292 | 0.2144 | 0.2704 |
| 4 | 0.3356 | 0.3103 | 0.3492 | 0.2393 | 0.2418 | 0.2139 | 0.2053 | 0.265 |
| 5 | 0.3345 | 0.3103 | 0.3474 | 0.2356 | 0.2358 | 0.1926 | 0.1989 | 0.2573 |
| 6 | 0.3349 | 0.3098 | 0.3461 | 0.2345 | 0.2301 | 0.1821 | 0.1928 | 0.2524 |
| 7 | 0.3345 | 0.3099 | 0.3457 | 0.2341 | 0.2274 | 0.1777 | 0.1864 | 0.2478 |
| normal_dim_iteration 256 10_Targets | normal_dim_iteration 128 10_Targets | normal_dim_iteration 64 10_Targets | normal_dim_iteration 32 10_Targets | normal_dim_iteration 128 Mnist | normal_dim_iteration 64 Mnist | normal_dim_iteration 32 Mnist | normal_dim_iteration 256 Mnist | |
|---|---|---|---|---|---|---|---|---|
| 0 | 0.411644 | 0.372271 | 0.335566 | 0.3486 | 0.514003 | 0.801476 | 1.05567 | 0.472752 |
| 1 | 0.436213 | 0.434367 | 0.392505 | 0.387779 | 0.464924 | 0.76791 | 1.16652 | 0.418094 |
| 2 | 0.453576 | 0.474436 | 0.426698 | 0.416749 | 0.424482 | 0.758334 | 1.18463 | 0.402897 |
| 3 | 0.465224 | 0.494406 | 0.444109 | 0.439388 | 0.40722 | 0.744712 | 1.20077 | 0.401002 |
| 4 | 0.472953 | 0.49976 | 0.451536 | 0.45082 | 0.405539 | 0.72911 | 1.22277 | 0.403165 |
| 5 | 0.477454 | 0.501047 | 0.454507 | 0.454824 | 0.40831 | 0.699264 | 1.24766 | 0.406768 |
| 6 | 0.480545 | 0.501451 | 0.455777 | 0.455881 | 0.412245 | 0.664338 | 1.27087 | 0.411076 |
| 7 | 0.482255 | 0.501613 | 0.456395 | 0.456119 | 0.416533 | 0.625125 | 1.29427 | 0.415697 |
| normal_dim_iteration 256 10_Targets | normal_dim_iteration 128 10_Targets | normal_dim_iteration 64 10_Targets | normal_dim_iteration 32 10_Targets | normal_dim_iteration 128 Mnist | normal_dim_iteration 64 Mnist | normal_dim_iteration 32 Mnist | normal_dim_iteration 256 Mnist | |
|---|---|---|---|---|---|---|---|---|
| 0 | 0.294928 | 0.28968 | 0.27443 | 0.281749 | 0.333347 | 0.467424 | 0.597795 | 0.320944 |
| 1 | 0.299333 | 0.305662 | 0.284633 | 0.283507 | 0.304958 | 0.441786 | 0.644099 | 0.290793 |
| 2 | 0.301707 | 0.31249 | 0.289281 | 0.284595 | 0.285498 | 0.437653 | 0.651504 | 0.282693 |
| 3 | 0.303179 | 0.315987 | 0.291499 | 0.285207 | 0.27689 | 0.431286 | 0.658385 | 0.280574 |
| 4 | 0.304023 | 0.317052 | 0.292351 | 0.285784 | 0.275424 | 0.424696 | 0.668514 | 0.28048 |
| 5 | 0.304423 | 0.317303 | 0.292599 | 0.286119 | 0.275984 | 0.41182 | 0.680104 | 0.28126 |
| 6 | 0.304654 | 0.317372 | 0.292714 | 0.28621 | 0.277124 | 0.39643 | 0.691116 | 0.282584 |
| 7 | 0.304833 | 0.317407 | 0.292753 | 0.286246 | 0.278495 | 0.378764 | 0.702265 | 0.284201 |